[ad_1] Introduction Emotion recognition is a crucial aspect of human interaction and communication. Being able to accurately identify and understand the emotions of others can lead to better relationships and more effective communication. In recent…
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[ad_1] Introduction Privacy-preserving machine learning has become a critical research area in the era of big data and artificial intelligence. As organizations collect and analyze vast amounts of sensitive data for various purposes, the need…
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[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis…
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[ad_1] Introduction Transfer learning has emerged as a powerful tool in machine learning, allowing models trained on one task or domain to be adapted to new, related tasks or domains. In the field of natural…
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[ad_1] Introduction With the increasing reliance on cloud computing for data storage and processing, concerns about the security and privacy of data have become more prevalent. Homomorphic encryption offers a solution to these concerns by…
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[ad_1] Introduction Zero-knowledge proofs are a powerful cryptographic tool that allows one party to prove to another party that a statement is true without revealing any additional information beyond the validity of the statement itself.…
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[ad_1] Introduction Secure multi-party computation (MPC) is a field of research aimed at enabling multiple parties to jointly compute a function on their private inputs while keeping those inputs confidential. With the increasing amount of…
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[ad_1] Introduction Reinforcement learning is a machine learning technique that has gained significant attention in recent years for its ability to enable computer systems to learn and make decisions in complex environments. Personalized education has…
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[ad_1] Introduction In recent years, the field of cryptography has faced a significant challenge with the emergence of quantum computing. Quantum computers have the potential to break many of the traditional encryption algorithms that are…
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[ad_1] Introduction: Quantum machine learning is a relatively new and exciting field that combines aspects of quantum mechanics and machine learning to solve complex problems in various domains. In recent years, quantum machine learning has…
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